Blog
Insights on AI customer support, product updates, and building smarter support experiences.
How to Set Up an AI Support Agent with Handoff to Live Agents: A Step-by-Step Guide
Learn how to configure an ai support agent with handoff capabilities that resolves routine customer inquiries automatically while seamlessly escalating complex issues—like billing disputes or frustrated VIP accounts—to live agents. This step-by-step guide covers everything from defining escalation criteria to testing your full workflow, ensuring smooth transitions that preserve conversation context and eliminate the need for customers to repeat themselves.
Matt Pattoli
Context-Aware Customer Support AI: How It Works and Why It Matters
Context-aware customer support AI eliminates the frustrating cycle of repeated explanations by connecting existing customer data—browsing behavior, account history, previous tickets—to deliver personalized, informed responses from the first interaction. This guide explores how context-aware systems work technically, why they outperform traditional support tools, and how businesses can implement them to reduce resolution times and improve customer satisfaction.
Grant Cooper
Self Learning Support Automation: How AI Gets Smarter With Every Customer Interaction
Self learning support automation solves the core limitation of traditional chatbots by continuously improving from every customer interaction, automatically incorporating new product updates, policy changes, and agent resolutions without requiring manual rule updates. Unlike static automation that grows stale over time, this approach captures institutional knowledge in real time, reducing repetitive ticket escalations and enabling support teams to handle growing volume without proportional headcount increases.
Matt Pattoli
Machine Learning Customer Support System: How AI Learns to Resolve Tickets Faster Over Time
A machine learning customer support system goes beyond traditional rule-based automation by continuously learning from ticket patterns to intelligently prioritize complex issues, resolve repetitive inquiries automatically, and improve response accuracy over time—freeing B2B support teams to focus on high-value customer relationships instead of answering the same questions every Monday morning.
Grant Cooper
7 Proven Strategies to Maximize Your AI Agent for Zendesk
Deploying an AI agent for Zendesk goes beyond simply connecting it to your knowledge base — maximizing its impact requires deliberate strategy across content quality, routing logic, escalation design, and continuous optimization. This guide outlines seven proven approaches to help B2B support teams reduce ticket volume, improve resolution rates, and deliver consistently better customer experiences as demands on their Zendesk instance continue to grow.
Matt Pattoli
9 Best Autonomous Customer Support Platforms in 2026
This guide evaluates the 9 best autonomous customer support platforms in 2026, comparing solutions that go beyond basic chatbots to fully resolve customer issues end-to-end without human intervention. Each platform is assessed across autonomy depth, integration breadth, learning capabilities, and scalability to help businesses—from AI-first startups to global enterprises—find the right fit for replacing outdated ticketing and manual routing workflows.
Grant Cooper
7 Proven Strategies to Deploy an Intelligent Chatbot for Customer Support That Actually Resolves Issues
Deploying an intelligent chatbot for customer support requires more than simply installing software — it demands strategic implementation across knowledge bases, conversation design, and escalation workflows. This guide outlines seven proven strategies that help B2B companies and product teams move beyond frustrating, keyword-matching bots to AI-powered solutions that genuinely resolve customer issues autonomously while freeing human agents for complex, high-value interactions.
Matt Pattoli
Automated Support Ticket Resolution: How AI Closes Tickets Without Human Intervention
Automated support ticket resolution uses AI to fully close routine support tickets—password resets, invoice requests, integration questions—without human intervention, freeing skilled agents to focus on complex issues that actually require human judgment. This guide explains how modern AI goes beyond basic chatbot deflection to genuinely resolve predictable tickets end-to-end, reducing volume and response times for growing B2B support teams.
Grant Cooper
AI Customer Service Agent: What It Is, How It Works, and Why It Matters in 2026
Modern AI customer service agents have evolved far beyond the frustrating chatbots of the past, offering B2B SaaS companies a scalable solution to handle rising ticket volumes without expanding headcount. Today's AI customer service agent understands context, executes multi-step actions, and resolves issues autonomously—delivering instant, accurate support around the clock while continuously improving through every customer interaction.
Matt Pattoli
Customer Frustration with Support Wait Times: Why It Happens and How to Fix It
Customer frustration with support wait times transforms minor issues into relationship-breaking crises, with each waiting minute eroding the trust companies work hard to build. This article reveals why wait times trigger such intense frustration and provides actionable strategies to eliminate this predictable yet preventable problem that silently drives customers away before renewal decisions.
Grant Cooper
How to Build a Better Triage System for Your Support Team: A Step-by-Step Guide
If your support team needs a better triage system, this step-by-step guide shows you how to route critical tickets to the right agents at the right time. Learn six concrete steps to transform your chaotic support queue into an efficient system that prioritizes high-impact issues, reduces response times, and ensures VIP customers and urgent problems get immediate attention instead of getting buried under routine requests.
Matt Pattoli
7 Proven Strategies to Stop Customers Waiting Too Long for Answers
When customers wait too long for answers, it damages trust, increases churn, and creates a cycle of escalating support tickets that slow response times further. This article reveals seven proven strategies to dramatically reduce support wait times without simply hiring more agents, helping B2B product teams break free from the expensive trap of scaling support headcount while meeting modern expectations for near-instant resolution.
Grant Cooper